Evidence map›Paper›PMID 41924310›Full record

ArticleResearch (Washington, D.C.)2026

Data Mining of Sediment Microbiomes of the Tibetan Plateau Revealed a Genomic Repository of Ancient Lineages and Adaptive Evolution of Asgardarchaeota.

Xiaoke Chen, Nan Wang, Chuanqi Jiang, Shuai Luo, Mingyue Cheng, Dongliang Chu, Che Hu, Peng Zhang, Kai Chen, Fangdian Yang and 3 more

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PubMed Full text at PMC Publisher
In one paragraph

Article in Research (Washington, D.C.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Genomic characterization and biological activities of cell-free supernatant fromFrontiers in cellular and infection microbiology · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Xiaoke ChenState Key Laboratory of Breeding Biotechnology and Sustainable Aquaculture, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China.
Nan WangState Key Laboratory of Breeding Biotechnology and Sustainable Aquaculture, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China.ORCID https://orcid.org/0000-0001-8671-6613
Chuanqi JiangState Key Laboratory of Breeding Biotechnology and Sustainable Aquaculture, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China.
Shuai LuoState Key Laboratory of Breeding Biotechnology and Sustainable Aquaculture, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China.
Mingyue ChengKey Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular-imaging, Center of AI Biology, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China.
Dongliang ChuKey Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular-imaging, Center of AI Biology, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China.
Che HuState Key Laboratory of Breeding Biotechnology and Sustainable Aquaculture, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China.
Peng ZhangState Key Laboratory of Breeding Biotechnology and Sustainable Aquaculture, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China.
Kai ChenState Key Laboratory of Breeding Biotechnology and Sustainable Aquaculture, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China.
Fangdian YangState Key Laboratory of Breeding Biotechnology and Sustainable Aquaculture, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China.
Jie XiongState Key Laboratory of Breeding Biotechnology and Sustainable Aquaculture, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China.
Kang NingKey Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular-imaging, Center of AI Biology, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China.
Wei MiaoState Key Laboratory of Breeding Biotechnology and Sustainable Aquaculture, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The extreme climatic conditions of the Tibetan Plateau foster unique microbial communities, especially in the sediment ecosystem. A thorough understanding of these communities could facilitate revealing their microbial diversity, biological resources, and response to climate change. Here, we have constructed the Tibetan Plateau Microbial Catalog of Sediment (TPMC-S) based on 248 metagenomic sediment samples from the Tibetan Plateau. We identified 511,056,752 nonredundant genes and recovered 13,696 metagenome-assembled genomes with enormous phylogenetic novelty (over 90% novel species), far exceeding other contemporary Tibetan microbial catalogs and expanding the microbial functional diversity. We also revealed that similarities of sediment microbial communities followed the distance-decay relationship. Furthermore, sediments contained a high proportion of evolutionarily "possible ancient species (PAS)" compared with paired aquatic samples, especially ancient archaeal lineages, suggesting a microbial "sedimentary archive" in sediment. Finally and most importantly, Asgardarchaeota, including 2 potentially novel genera, were identified from the sediments, and their latest divergence predated the uplift of the Tibetan Plateau, while they still gained functions to adapt to extreme environments. Our findings positioned the Tibetan Plateau as both a genomic repository of microbial antiquity, especially Asgardarchaeota, and an active arena for modern extremophile innovation, providing insights for deciphering microbial resilience strategies in climate-sensitive ecosystems and informing novel bioprospecting efforts.

Identifiers

PMID41924310
PMCPMC13036324

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